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Error-Free Polynomial Matrix Computations
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Error-Free Polynomial Matrix Computations Paperback - 2011

by E. V. Krishnamurthy

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This book is written as an introduction to polynomial matrix computa- tions. It is a companion volume to an earlier book on Methods and Applications of Error-Free Computation by R. T. Gregory and myself, published by Springer-Verlag, New York, 1984. This book is intended for seniors and graduate students in computer and system sciences, and mathematics, and for researchers in the fields of computer science, numerical analysis, systems theory, and computer algebra. Chapter I introduces the basic concepts of abstract algebra, including power series and polynomials. This chapter is essentially meant for bridging the gap between the abstract algebra and polynomial matrix computations. Chapter II is concerned with the evaluation and interpolation of polynomials. The use of these techniques for exact inversion of poly- nomial matrices is explained in the light of currently available error-free computation methods. In Chapter III, the principles and practice of Fourier evaluation and interpolation are described. In particular, the application of error-free discrete Fourier transforms for polynomial matrix computations is consi- dered.

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  • Title Error-Free Polynomial Matrix Computations
  • Author E. V. Krishnamurthy
  • Binding Paperback
  • Edition Softcover reprin
  • Pages 155
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2011-09-26
  • ISBN 9781461295723 / 1461295726
  • Weight 0.56 lbs (0.25 kg)
  • Dimensions 9.21 x 6.14 x 0.38 in (23.39 x 15.60 x 0.97 cm)
  • Category Mathematics
  • Dewey Decimal Code 518

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Error-Free Polynomial Matrix Computations

Error-Free Polynomial Matrix Computations

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Error-Free Polynomial Matrix Computations (Monographs in Computer Science)
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Error-Free Polynomial Matrix Computations (Monographs in Computer Science)

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Error-Free Polynomial Matrix Computations (Monographs in Computer Science)
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Error-Free Polynomial Matrix Computations (Monographs in Computer Science)

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Error-Free Polynomial Matrix Computations
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